My Blog

2018

So this is a big day: our chapter on Cognitive Data Visualization has been published in the series Topics in Intelligent Engineering and Informatics. Aaand… this is the first time that my work can be found in books.google.com :)
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25 May 2018. The enforcement day of the famous or infamous GDPR, alias the EU General Data Protection Regulation. From that day, the current situation of data ownership and control changes… or does it.
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Developing a data science product is the focus of many startups and enterprises in our time. Thousands of entrepreneurs are working on finding a way to create a better world or to make huge money. They all want to do this by using current developments in machine learning, data storage, cloud computing, and deep learning. Although many products are built on technology, data-driven products are unique since here the research results of last week may end up in a product already next month. And that is fast. The field is, therefore, filled with noise and buzz…
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2017

For almost ten years, every year on Christmas Eve, my mum took us in the car and drove to an old house in our village. We brought carefully wrapped toys and food to a family in need. She told us that the parents are very nice people and have children who are our age. Since this was a small village, I once asked my mum, “Do I know the children?” My mum looked at me and said, “I don’t think so, you know people in need only if you look for them.” more...

I’ve been thinking about this post for a while now: I’ve collected a handful of great mini tools which I use day by day to make my life easier. These are various small one-functional web or offline tools, some of which you may find useful as well.
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I’ve had a very interesting start for the autumn: not only gave a nice keynote at IEEE CogInfoCom about the Neuroscience of Virtual Reality, but also the track that we organized with my father Zsolt Török received the Best Session Award. It is really good to feel that our work invested pays off. And there are some interesting things coming in November.
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I’ve finally managed to find some time to write a short post about our winning solution at the Telekom Leading Data Hackathon. The aim of this post is to give an example of how to use deep learning in a practical business use case.
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The prestigious journal Psychophysiology has just published our new paper on the neural background of navigation. For the impatient (like myself) I’m summarising the interesting parts of the results and methods here.
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About five years ago, we have come up with a idea about grid cells that challenged mainstream scientific thinking. While grid cells in rodent form a context independent coordinate system for spatial navigation, we thought that their activity actually does depend on the context in humans. To verify this we designed an experiment where epliepsy patients with implanted electrodes had to navigate in virtual environments of different sizes.
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In recent times the popularity of Bayesian statistics has greatly increased, thanks to the large computing power of modern computers. As a result, there is an ongoing debate on whether the Bayesian or frequentist approach is more suitable for statistical and scientific purposes. A great number of introductory papers on these two schools of statistical inference are available online, therefore I will not spend time reiterating the basic definitions here (for those who are interested I recommend thesetwo documents, which contain excellent introductions to the topic). Instead, my goal is to take a look at which of these two approaches is worth following in order to reach the right statistical conclusions – whatever the definition of ‘right’ may be.
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I’ve just returned from pilot testing in the VeME lab directed by Elisa Ferré at Royal Holloway, University of London thanks to my EPS grant. We are studying how vestibular and visual informations interact in the perception of gravity. We focus the current experiment on the dynamic nature of gravity, namely the perception of moving objects.
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2016

So here we are: another great year is ending tomorrow. During the Christmas period I looked back to what happened in 2016, despite the phenomenal John Oliver wrap up, I’m pretty happy with my achievements this year. First I wanted to write a long post about what I am proud of and thankful for, then I realized that in this case a picture indeed tells more than 10^2 words. So here is my 2016 infographic.
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I gave a talk at the Budapest BI Forum 2016. This was one the best events I’ve been to this year, respect to the organizers. The talk was about how to communicate data science results to the management. This has been an ongoing challenge for me, so I was happy to share some tips based on my experiences. You can have a look at the slides yourself here.
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I gave a talk to a brilliant audience yesterday at the NLP meetup. My slides on what we do at Synetiq are available here made in Slides of loci. If you are wondering what that is: it a 3D capable presentation tool I made to design functional and effective 3D enabled presentations. You can read more about the philosophy here.
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I’m lucky to give a talk at the satRday conference on September 3 2016. I will tell about time series analysis based on our recent work at Synetiq lab. The most interesting part of this will be about how Hidden Markov Modeling can help identifying emotions based on data from EEG, heart-rate, and GSR recordings.
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This week, I’m at the ICOM6 conference, this is probably the largest conference I have so far been to. I have just submitted my PhD thesis on virtual reality and spatial cognition and brought here a slice of that.
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I was playing basketball in high school, and those were the times when everybody started to be crazy about Kobe here. So I did feel that an era has ended on 13 April. Celebrating his career, Kaggle started a competition where you have to predict missing shot info in his stats.
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I gave a talk about how illusions could save your life at Pszinapszis. I was surprised to see the room being so crowded for such a cognitive topic, there were even people sitting on the floor. It was a great experience to talk about my research in front of such a good audience. Thanks to the organizers for inviting me.
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Yesterday, Prof. Endre Szemerédi came to visit us in the Synetiq lab. We had one serious discussion on graph similarity and clustering. It started as a half hour meeting and ended up 11.30pm and we were still there :)
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